The Reality of Natural Language Generation: Capabilities and Limitations

Have you ever wondered if there are natural language generation (NLG) applications or bots capable of writing a college-level paper autonomously? The answer is no. NLG systems are not advanced enough to write even elementary level papers, let alone collegiate ones. These systems can only mimic text and generate content, but they lack the ability to conduct research or structure coherent arguments.

Common Applications of NLG Methods

Common applications of NLG include the production of various reports, such as weather and patient reports, image captions, and chatbots. Automated NLG can be compared to the process humans use when they translate ideas into writing or speech. Natural language processing (NLP) is a key technology that allows machines to read and understand human language. Some straightforward applications of NLP include information retrieval, question answering, and machine translation.

Artificial Intelligence vs. Human Intelligence

No, there is no denying that there are websites that automatically generate scientific papers. These papers may look impressive, but the content is explicitly stated to be nonsense. Writing a paper requires human intelligence, which artificial intelligence (AI) does not possess. The fundamental issue lies in the fact that scientists are unable to define intelligence in a natural way. Therefore, artificial intelligence is not based on natural laws of intelligence. As a result, AI is limited to performing repetitive tasks and simulated neural networks are limited to pattern recognition.

Advancing Human Intelligence through Reverse Engineering

I am one of the few individuals in the world replicating natural or human intelligence. I believe that life and the universe are intelligently designed, and any intelligent design can be unraveled through reverse engineering. Human language is a source of natural intelligence, and I have utilized the intelligent design of human language to replicate natural or human intelligence in software. My automated reasoner, published as open source software, has results that scientists cannot deliver because current scientific theories are inadequate to describe natural or human intelligence.

Artificial intelligence, when compared to human intelligence, is like a flight simulator compared to an airplane. A flight simulator moves pixels on the screen and the cones of speakers, but it will not leave the room. This analogy underscores the significant limitations of AI in mimicking complex human tasks. While NLG can automate certain aspects of text generation, it remains a long way from replicating the creative and analytical capabilities of human intelligence. For now, the future of AI lies in enhancing and augmenting human intelligence rather than fully replacing it.